Title :
Utility evaluation of K-anonymous data by microaggregation
Author :
Lixia, Wang ; Jianmin, Han
Author_Institution :
XingZhi Coll., Zhejiang Normal Univ., Jinhua, China
Abstract :
Microaggregation is an effective method to k-anonymize microdata for privacy preservation. The evaluation of utility of anonymity data by microaggregation plays an increasing important role for microdata publication and microaggregation algorithm selection. So the paper presents an evaluation model, which adopts different methods to evaluate utility of anonymous data for different data type. Experimental results show that the presented model can evaluate the utility of anonymity data effectively.
Keywords :
data privacy; k-anonymous data; microaggregation algorithm selection; privacy preservation; utility evaluation; Clustering algorithms; Costs; Data engineering; Data privacy; Data security; Educational institutions; Information security; Loss measurement; Physics; Protection; Data Utility; Information Loss; K-anonymity; Microaggregation;
Conference_Titel :
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location :
Sanya
Print_ISBN :
978-1-4244-4247-8
DOI :
10.1109/CCCM.2009.5270417
